Kubra Surucu

Junior Quantitative Analyst and Business Analyst with a solid foundation in financial markets and data analysis. Able to handle big datasets with attention to detail and a specific care on accuracy. Eager to apply analytical skills and an adaptive mindset to a quantitative analyst role with an education background of full-stack software development with predictive analytics specialization. Adept at managing data quality, reporting, and dashboarding through educational projects. Quantitative Finance Project — Python •Created a basic financial modeling framework for return analysis, risk analysis, CAPM, Sharpe Ratio, and portfolio optimization with Python. •Simulated processes using Monte Carlo techniques for stock price prediction, revenue forecasting, and option pricing (Black–Scholes–Merton, Euler discretization). •Performed regression analysis for alpha, beta, and R-squared metrics. •Used real market data from IEX and Yahoo Finance. •Used NumPy for statistical modeling and Matplotlib for data visualization. Heritage House Project — Predictive Analytics •Built a Data App to estimate house sell prices based on features with a Machine Learning User Interface (UI) combining: (1) Python packages for Machine Learning, Data Analysis and Data Visualizations (2) Streamlit for fast Machine Learning prototyping Pumpkin Story and Myth Blog Project — Django / PostgreSQL •Created a Full-Stack story/post sharing website using data analyzing logic to manage a dataset that is owned centrally. •Provide role-based access to the site’s data or other actions based on the dataset and set up an authentication system.